北京大学学报(医学版) ›› 2019, Vol. 51 ›› Issue (5): 959-963. doi: 10.19723/j.issn.1671-167X.2019.05.028

• 论著 • 上一篇    下一篇

红外热成像技术诊断口腔鳞状细胞癌颈淋巴结转移

陶船思博,董凡,王佃灿,郭传瑸()   

  1. 北京大学口腔医学院·口腔医院,口腔颌面外科 国家口腔疾病临床医学研究中心 口腔数字化医疗技术和材料国家工程实验室 口腔数字医学北京市重点实验室,北京 100081
  • 收稿日期:2017-10-08 出版日期:2019-10-18 发布日期:2019-10-23
  • 通讯作者: 郭传瑸 E-mail:guodazuo@vip.sina.com

Diagnostic test for detection of cervical lymph node metastasis from oral squamous cell carcinoma via infrared thermal imaging

Chuan-si-bo TAO,Fan DONG,Dian-can WANG,Chuan-bin GUO()   

  1. Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
  • Received:2017-10-08 Online:2019-10-18 Published:2019-10-23
  • Contact: Chuan-bin GUO E-mail:guodazuo@vip.sina.com

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摘要:

目的:探索以无创、无电离辐射暴露、经济快捷的红外热成像技术诊断口腔鳞状细胞癌颈淋巴结转移的可行性,并通过联合诊断试验评价其诊断效能及应用价值。方法:选择2015年7月至2017年6月北京大学口腔医院口腔颌面外科主因口腔鳞状细胞癌住院治疗,拟行颈淋巴清扫术的患者共74例,收集受试者的基线资料及术前常规临床检查结果,如体格检查和增强CT,并在术前对受试者行红外热成像检查。根据诊断试验的基本原理,以术后病理检查报告为金标准,计算红外热成像检查的诊断效能指标。结果:红外热成像技术诊断口腔鳞状细胞癌颈淋巴结转移癌的灵敏度为75.0%,特异度为69.0%,符合率为71.6%, 阳性预测值为64.9%,阴性预测值为78.4%。红外热成像与其他常规术前检查并联试验的灵敏度为87.9%,串联试验的特异度为97.6%。结论:红外热成像技术可以纳入术前临床检查,可以同其他影像学检查手段联合作为口腔鳞状细胞癌颈淋巴结转移癌的诊断手段。

关键词: 红外热成像, 口腔鳞状细胞癌, 颈淋巴结转移癌, 诊断试验

Abstract:

Objective: To evaluate the diagnostic performance of a non-invasive, non-radiating, economical and convenient infrared thermal imaging in the detection of oral squamous cell carcinoma (OSCC) cervical lymph node metastasis, and evaluate its applicability via parallel test and series test. Methods: This study was a prospective clinical study which passed the ethical review by the Biomedical Ethics Committee, Hospital of Stomatology, Peking University, and had been submitted for clinical trial registration. Totally 74 OSCC patients who were to undergo a neck dissection were included in this study. The inclusion criteria were patients who: (1) were pathologically diagnosed as malignant tumors and planned to undergo surgical treatment including neck dissection; (2) agreed to participate in this study. The exclusion criteria were those who: (1) had undergone surgeries at head and neck previously; (2) with a history of systemic tumor adjuvant therapies such as radiotherapy or chemotherapy etc; (3) were unwilling or unable to cooperate. Basal information as well as clinical examination results were collected, such as physical examination and contradictive enhanced CT. Besides, infrared thermal imaging was done ahead of surgery. Analysis of the diagnostic power of infrared thermal imaging followed the principles of diagnostic test. The positive signs of infrared thermal imaging were: (1) asymmetric thermographic pattern including vascular pattern in ROI; (2) thickening image of unilateral facial artery/vein, submental artery/vein or external carotid artery; (3) surface temperature of ROI raised over 1 ℃ compared with the opposite side; (4) changes of neck profile with abnormal temperature pattern. The gold standard of this diagnostic test was pathology diagnosis of cervical lymph nodes. Results: The sensitivity of infrared thermal imaging was 75.0%, while the specificity was 69.0%, accuracy was 71.6%, positive predictive value was 64.9% and negative predictive value was 78.4%. The sensitivity of parallel test which stood for the combination of infrared thermal imaging and conventional clinical examinations was 87.9% while the specificity of series test was 97.6%. Conclusion: Infrared thermal imaging is a promising non-invasive, non-radiating and economical tool in the detection of cervical lymph node metastasis from OSCC when combined with conventional pre-operative examination.

Key words: Infrared thermal imaging, Oral squamous cell carcinoma, Cervical lymph node metastasis, Diagnostic test

中图分类号: 

  • R739.8

表1

纳入的全部受试者基线资料、临床检查结果及病理学检查结果"

Title Subtitle Number Percentage
Number of patients 74
Average age/years 58.9±12.3
Gender Male 50 67.6
Female 24 32.4
Physical examinateion cN0 41 55.4
cN+ 33 44.6
Site of the primary tumor
ICD10-C00 Lip 1 1.3
ICD10-C01 Base of Tongue 6 8.1
ICD10-C02 Tongue 29 39.2
ICD10-C03 Gum 13 17.6
ICD10-C04 Floor of mouth 6 8.1
ICD10-C05 Palate 2 2.7
ICD10-C06.0 Buccal mucosa 11 14.9
ICD10-C06.2 Retromolar area 4 5.4
ICD10-C10 Oropharynx 2 2.7
Primary tumor diameter
dmax≤2.0 cm 33 44.6
2.0 cm<dmax≤4.0 cm 35 47.3
4.0 cm<dmax≤6.0 cm 5 6.8
dmax>6.0 cm 1 1.3
Primary tumor pathology
SCC level Ⅰ 28 37.8
SCC level Ⅰ-Ⅱ 27 36.5
SCC level Ⅱ 14 18.9
SCC level Ⅱ-Ⅲ 4 5.4
SCC level Ⅲ 1 1.4
Pathological N staging
pN0 42 56.8
pN1 12 16.1
pN2a 2 2.7
pN2b 13 17.6
pN2c 5 6.8
pN3 0 0

图1

红外热成像检查"

图2

红外热成像阳性征"

表2

纳入的全部受试者常规术前检查及红外热成像诊断效能对比"

Title pN+ pN0 Total
2.1 Commmon cN+ 21 12 33
pre-operative cN0 11 30 41
examinations Total 32 42 74
2.2 Infrared irN+ 24 13 37
thermal imaging irN0 8 29 37
Total 32 42 74
[1] Pauzie A, Gavid M, Dumollard JM , et al. Infracentimetric cervical lymph node metastasis in head and neck squamous cell carcinoma: Incidence and prognostic value[J]. Eur Ann Otorhinolaryngol Head Neck Dis, 2016,133(5):307-311.
[2] Barnes L, Johnson JT . Pathologic and clinical considerations in the evaluation of major head and neck specimens resected for cancer. Part Ⅰ[J]. Pathol Annu, 1986,21(Pt 1):173-250.
[3] Barnes L, Johnson JT . Clinical and pathological considerations in the evaluation of major head and neck specimens resected for cancer. Part Ⅱ[J]. Pathol Annu, 1986,21(Pt 2):83-110.
[4] Li Z, Gong D, Qiao Y , et al. Common feature discriminant analysis for matching infrared face images to optical face images[J]. IEEE Trans Image Process, 2014,23(6):2436-2445.
[5] Haddad DS, Brioschi ML, Baladi MG , et al. A new evaluation of heat distribution on facial skin surface by infrared thermography[J]. Dentomaxillofac Radiol, 2016,45(4):20150264.
[6] Okada Y, Narumiya H . Visualization of poikilothermia using handheld thermography[J]. Clin Case Rep, 2017,5(9):1542-1543.
[7] Rassiwala M, Mathur P, Mathur R , et al. Evaluation of digital infra-red thermal imaging as an adjunctive screening method for breast carcinoma: a pilot study[J]. Int J Surg, 2014,12(12):1439-1443.
[8] Kennedy DA, Lee T, Seely D . A comparative review of thermography as a breast cancer screening technique[J]. Integr Cancer Ther, 2009,8(1):9-16.
[9] Wishart GC, Campisi M, Boswell M , et al. The accuracy of digital infrared imaging for breast cancer detection in women undergoing breast biopsy[J]. Eur J Surg Oncol, 2010,36(6):535-540.
[10] Kandala SK, Deng D, Herman C . Simulation of discrete blood vessel effects on the thermal signature of a melanoma lesion[J]. Int Mech Eng Congress Expo, 2013, 3B:V03BTA038-V03BT03A44.
[11] Choi HG, Kwon SY, Won JY , et al. Comparisons of Three Indicators for Frey’s syndrome: subjective symptoms, Minor’s starch iodine Test, and infrared thermography[J]. Clin Exp Otorhinolaryngol, 2013,6(4):249-253.
[12] Wang J, Chang KJ, Chen CY , et al. Evaluation of the diagnostic performance of infrared imaging of the breast: a preliminary study [J/OL]. Biomed Eng Online, 2010, 9: 3(2010-01-07)[2017-10-07].
[13] Sella T, Sklair-Levy M, Cohen M , et al. A novel functional infrared imaging system coupled with multiparametric computerised analysis for risk assessment of breast cancer[J]. Eur Radiol, 2013,23(5):1191-1198.
[14] Bullitt E, Lin NU, Ewend MG , et al. Tumor therapeutic response and vessel tortuosity: preliminary report in metastatic breast cancer[J]. Med Image Comput Comput Assist Interv, 2006,9(Pt 2):561-568.
[15] Liu X, Ouyang D, Li H , et al. Papillary thyroid cancer: dual-energy spectral CT quantitative parameters for preoperative diagnosis of metastasis to the cervical lymph nodes[J]. Radiology, 2015,275(1):167-176.
[16] Zakeri F, Shakeri M, Rajabpour MR , et al. Physicians’ knowledge about radiation dose and possible risks of common medical tests: a survey in Iran[J]. Radiat Protect Dosimetry, 2016,172(1/2/3):311-316.
[17] Sittitrai P, Srivanitchapoom C, Reunmakkaew D , et al. Submental island flap reconstruction in oral cavity cancer patients with level I lymph node metastasis[J]. Br J Oral Maxillofac Surg, 2017,55(3):251-255.
[18] Mohammadkarim A, Mokhtari-Dizaji M, Kazemian A , et al. Hemodynamic analysis of radiation-induced damage in common carotid arteries by using color Doppler ultrasonography[J]. Ultrasonography, 2018,37(1):43-49.
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